Abstract
The effects of climate change are becoming increasingly visible. The intensity and frequency of forest fires, droughts, storms and flooding have increased in last few decades. The increasing fluctuation in temperatures and precipitation brought on by climate change is a major problem for all ecosystems all around the world. Artificial intelligence (AI) and Machine learning (ML) can help us to solve complex challenges in uncertain environments. AI can aid in streamlining current procedures and identifying fresh approaches to make our society decarbonized. A huge capacity-building is required to give the knowledge, tools and skills necessary for the responsible adoption of AI-for-Climate solutions. This study comprises how AI can aid for the mitigation and adaptation of climate change in sectors including urban planning, business, food ecosystem, transportation, fashion, and combating misinformation and climate communication. An example of a climate optimism recommendation engine is described to demonstrate the potential of AI. To encourage the use of AI for climate action, this report offers suggestions to organizations, authorities and researchers in the field of artificial intelligence and climate change.
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Natani, G. (2023). Artificial Intelligence and Machine Learning for Climate Change Mitigation and Adaptation. In: Pandit, M., Gaur, M.K., Kumar, S. (eds) Artificial Intelligence and Sustainable Computing. ICSISCET 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1431-9_14
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DOI: https://doi.org/10.1007/978-981-99-1431-9_14
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